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Bipolar Hypersoft Sets [PDF]

open access: yesMathematics, 2021
Hypersoft set theory is an extension of soft set theory and is a new mathematical tool for dealing with fuzzy problems; however, it still suffers from the parametric tools’ inadequacies.
Sagvan Y Musa, Baravan A Asaad
exaly   +5 more sources

An Algebraic Approach to Modular Inequalities Based on Interval-Valued Fuzzy Hypersoft Sets via Hypersoft Set-Inclusions

open access: yesJournal of Function Spaces, 2022
Interval-valued fuzzy hypersoft set is an emerging field of study which is projected to address the limitations of interval-valued fuzzy soft set for the entitlement of multiargument approximate function.
Atiqe Ur Rahman   +4 more
doaj   +4 more sources

An Integrated Algorithmic MADM Approach for Heart Diseases’ Diagnosis Based on Neutrosophic Hypersoft Set with Possibility Degree-Based Setting [PDF]

open access: yesLife, 2022
The possibility neutrosophic hypersoft set (pNHs-set) is a generalized version of the possibility neutrosophic soft set (pNs-set). It tackles the limitations of the pNs-set regarding the use of the multi-argument approximate function.
Atiqe Ur Rahman   +2 more
exaly   +4 more sources

Entropy for q-rung linear diophantine fuzzy hypersoft set with its application in MADM [PDF]

open access: yesScientific Reports
A notable advancement in fuzzy set theory is the q-rung linear diophantine fuzzy set. The soft set theory was expanded into the hypersoft set theory. By combining both the q-rung linear diophantine fuzzy set and hypersoft set, this study describes the ...
AN. Surya   +4 more
doaj   +3 more sources

Robust Aggregation Operators for Intuitionistic Fuzzy Hypersoft Set with Their Application to Solve MCDM Problem [PDF]

open access: yesEntropy, 2021
In this paper, we investigate the multi-criteria decision-making complications under intuitionistic fuzzy hypersoft set (IFHSS) information. The IFHSS is a proper extension of the intuitionistic fuzzy soft set (IFSS) which discusses the parametrization ...
Rana Muhammad Zulqarnain   +2 more
exaly   +5 more sources

An Intelligent Multiattribute Decision-Support Framework Based on Parameterization of Neutrosophic Hypersoft Set. [PDF]

open access: yesComput Intell Neurosci, 2022
Hypersoft set is a novel area of interest which is able to tackle the real‐world scenarios where classification of parameters into their respective sub‐parametric values in the form of overlapping sets is mandatory. It employs a new approximate mapping which considers such sets in the form of sub‐parametric tuples as its domain.
Rahman AU   +3 more
europepmc   +2 more sources

n-ary Fuzzy Hypersoft Expert Sets [PDF]

open access: yesNeutrosophic Sets and Systems, 2021
In 2018, Smarandache introduced the concept of hypersoft set by replacing the approximate function of the Molodtsov’s soft sets with the multi-argument approximate function.
Huseyin Kamacı, Muhammad Saqlain
doaj   +2 more sources

Einstein Ordered Weighted Aggregation Operators for Pythagorean Fuzzy Hypersoft Set With Its Application to Solve MCDM Problem

open access: yesIEEE Access, 2022
The Pythagorean fuzzy hypersoft set is the most generalized form of the Pythagorean fuzzy soft set used to resolve indeterminate and inexplicit information in the decision-making procedure, considering the parameters’ multi-sub-attributes ...
Rana Muhammad Zulqarnain   +2 more
exaly   +3 more sources

A Novel Multicriteria Decision-Making Approach for Einstein Weighted Average Operator under Pythagorean Fuzzy Hypersoft Environment

open access: yesJournal of Mathematics, 2022
The experts used the Pythagorean fuzzy hypersoft set (PFHSS) in their research to discourse ambiguous and vague information in decision-making processes.
Pongsakorn Sunthrayuth   +5 more
doaj   +2 more sources

A New Methodology for Solving Piecewise Quadratic Fuzzy Cooperative Continuous Static Games

open access: yesAdvances in Mathematical Physics, 2022
This paper deals with n-players fuzzy cooperative continuous static games (FCCSGs). The cost function coefficients are characterized by piecewise quadratic fuzzy numbers.
He Xiao   +4 more
doaj   +2 more sources

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